Logo Lanfrica

mandazavee22/ZSEPulse

Domain:

socioeconomic

Record type:

software
Creator:
man
Host:
AI-assisted Zimbabwe Stock Exchange dashboard with automated buy/sell/hold signals (84% 30-day accuracy) and portfolio tracking. HiveFund # ZSEPulse — AI-Assisted Zimbabwe Stock Exchange Dashboard A market analytics dashboard for the Zimbabwe Stock Exchange (ZSE) with AI-generated trading signals and portfolio tracking. ## Overview ZSEPulse helps investors track ZSE performance and make informed decisions by combining automated buy/sell/hold signals, index visualisation, and macroeconomic monitoring in one dashboard. ## Features - Portfolio value tracking in both ZiG and USD - Automated buy/sell/hold trading signals (84% 30-day signal accuracy) - ZSE All-Share Index visualisation - ZiG/USD exchange rate and inflation monitoring ## Tech Stack - **Language:** Python - **Frameworks/Libraries:** [confirm — e.g. scikit-learn, Pandas, Flask/Streamlit] - **Other tools:** [confirm] ## How It Works Historical ZSE price data is processed and fed into a signal-generation model that classifies each stock as buy/sell/hold. Exchange rate and inflation data are layered in to give investors macro context alongside individual stock signals. ## Results Achieved 84% accuracy on 30-day trading signals during backtesting. ## Author Vimbainashe Mandaza — LinkedIn | Zindi